c4b108f53550f1d5967305a9a8140ddd-Paper.pdf
–Neural Information Processing Systems
Here we study structure-preserving discretizations for a certain class of dissipative (conformal) Hamiltonian systems, allowing us to analyze the symplectic structure of both Nesterov and heavy ball, besides providing several new insights into these methods. Moreover, we propose a new algorithm based on a dissipative relativistic system that normalizes the momentum and may result in more stable/faster optimization.
Neural Information Processing Systems
Feb-10-2026, 05:43:32 GMT